Machine Learning and Digital Signal Processing Applications in Online Video Platforms

On Friday, November 20, 2020 at 2:30 p.m., Mehrdad Fatourechi will present “Machine Learning and Digital Signal Processing Applications in Online Video Platforms”.

Day & Time: Friday, November 20, 2020
2:30 p.m. – 4:00 p.m.

Speaker: Mehrdad Fatourechi, PhD

Organizer: IEEE Signal Processing Chapter Toronto Section

Location: This event will be hosted on google meets
Meeting ID
meet.google.com/yej-opbp-uxo
Phone Numbers
(US)+1 617-675-4444
PIN: 974 200 026 6220#

Contact: Mehrnaz Shokrollahi

Abstract: In the past 15 years, we have seen exponential growth in online video platforms such as YouTube, Instagram, Netflix, TikTok, amongst others. In this talk, we will look at some of the challenges these platforms have been facing and how machine learning and digital signal processing are playing important roles in addressing these challenges. We will focus on discussing 3 areas:
1- Content discovery and SEO optimization
2- Establishing trust and safety, and
3- Protecting the rights of the content owners
We will also discuss some of the areas that are currently open for future research.

Register: Registration is not required.

Biography: Mehrdad is the VP of Engineering of BroadbandTV, a media-tech company that is advancing the world through the creation, distribution, management, and monetization of content. Mehrdad is currently responsible for managing the research and development (R&D) and IT departments. When he joined BBTV in March 2010, he was initially responsible for managing the research team, and then his role later expanded to lead the entire engineering department.

Under his leadership, BBTV’s tech team has become one of the leading and most innovative teams in digital video space, building several internal and external products (including VISO Catalyst, VISO Collab, VISO Prism, VISO NOVI, and VISO Mine) as well as filing several patents. Mehrdad has an in-depth knowledge of digital signal processing, machine learning, and pattern
recognition algorithms. He holds a PhD in Electrical Engineering from the University of British Columbia (UBC), where he was nominated for NSERC’s Doctoral Prize Award. He is an author on more than 30 journal and conference papers with a focus on pattern recognition, machine learning and intelligent algorithms. He previously held positions in the tech/education industry including roles as a research associate and sessional lecturer at UBC, as well as consulting with several companies (INETCO, BC Mining Research, and STC enterprises). He was the co-chair of the IEEE Signal Processing Chapter in Vancouver for two years.